I will clean, transform and validate your data using python
Data Engineer: Python, SQL, AI
About this Gig
Need clean, reliable data for your analysis or business workflows?
I will clean, transform and validate your CSV or Excel data using Python and Pandas.
I'm a Data Engineer with professional experience in Python, PySpark, SQL and data-quality validation.
What I can do:
- Fix inconsistent formats and data types
- Identify missing or invalid values
- Detect and remove duplicate records
- Clean text, dates and numeric fields
- Apply agreed transformation and validation rules
- Deliver structured, ready-to-use datasets
Packages:
- BASIC: Up to 100 rows, 1 file, 10 columns.
- STANDARD: Up to 200 rows, 1 file, 15 columns, deduplication and quality summary.
- PREMIUM: Up to 300 rows, 2 files, 20 columns total, validation report and Python script.
Important: Corrections follow agreed rules. I do not invent missing information or guarantee the accuracy of original source data.
Please message me before ordering if your files are
FAQ
1. What file formats do you accept?
I work with CSV, Excel, JSON, TSV and other structured data formats using Python. I can also handle SQL databases, Parquet files and API data. Standard packages cover CSV and Excel. For other formats, complex data or integrations, please contact me for a custom quote.
Can you clean larger datasets?
Yes. I can work with larger datasets, multiple files and more complex transformations using Python, Pandas or PySpark. Please message me with your data size, format and requirements before ordering so I can prepare a custom quote.
Will you provide the Python code?
The Premium package includes the Python cleaning script and agreed deliverables. Basic and Standard include the cleaned data, with a quality summary in Standard. If you need reusable scripts, automation or documentation, please contact me for a custom offer.
How do you handle confidential data?
I treat client data as confidential and use it only for the agreed project. I do not publish or share your files. Please avoid sending passwords or unnecessary sensitive information. For regulated or highly sensitive data, contact me before ordering to discuss requirements.

